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license: mit
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license: mit
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language:
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- cs
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tags:
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- document question answering
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# LayoutLMv2 Model Fine-tuned with CIVQA (Tesseract) dataset
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This is a fine-tuned version of the [Impira Document QA model](https://huggingface.co/impira/layoutlm-document-qa), which was trained on Czech Invoice Visual Question Answering (CIVQA) dataset containing invoices in the Czech language as well as on the Data Visualizations via Question Answering ([DVQA] (https://paperswithcode.com/dataset/dvqa)) dataset.
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This model enables Document Visual Question Answering on Czech invoices with the use of the existing DVQA dataset.
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Regarding the Czech invoices, we focused on 10 different entities, which are crucial for processing the invoices.
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- Variable symbol
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- Specific symbol
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- Constant symbol
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- Bank code
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- Account number
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- Total amount
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- Invoice date
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- Name of supplier
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- DIC
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- QR code
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You can find more information about this model in this [paper](https://nlp.fi.muni.cz/raslan/raslan23.pdf#page=31).
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